Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	2,312,944
Missing cells	1,305,751
Missing cells (%)	2.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 GiB
Average record size in memory	1011.9 B

Variable types

Text	8
Categorical	4
Numeric	5
Boolean	4
DateTime	3

Alerts

`Installs` is highly overall correlated with `Maximum Installs` and 1 other fields	High correlation
`Maximum Installs` is highly overall correlated with `Installs` and 3 other fields	High correlation
`Minimum Installs` is highly overall correlated with `Installs` and 3 other fields	High correlation
`Rating` is highly overall correlated with `Maximum Installs` and 2 other fields	High correlation
`Rating Count` is highly overall correlated with `Maximum Installs` and 2 other fields	High correlation
`Free` is highly imbalanced (86.1%)	Imbalance
`Currency` is highly imbalanced (99.8%)	Imbalance
`Content Rating` is highly imbalanced (72.9%)	Imbalance
`In App Purchases` is highly imbalanced (58.2%)	Imbalance
`Editors Choice` is highly imbalanced (99.5%)	Imbalance
`Developer Website` has 760835 (32.9%) missing values	Missing
`Released` has 71053 (3.1%) missing values	Missing
`Privacy Policy` has 420953 (18.2%) missing values	Missing
`Rating Count` is highly skewed (γ1 = 425.827796)	Skewed
`Minimum Installs` is highly skewed (γ1 = 351.1240817)	Skewed
`Maximum Installs` is highly skewed (γ1 = 302.0158966)	Skewed
`Price` is highly skewed (γ1 = 98.89108745)	Skewed
`App Id` has unique values	Unique
`Rating` has 1059762 (45.8%) zeros	Zeros
`Rating Count` has 1059762 (45.8%) zeros	Zeros
`Price` has 2268011 (98.1%) zeros	Zeros

Reproduction

Analysis started	2025-04-03 17:54:54.307724
Analysis finished	2025-04-03 18:19:05.156517
Duration	24 minutes and 10.85 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

App Name
Text

Distinct	2177943
Distinct (%)	94.2%
Missing	5
Missing (%)	< 0.1%
Memory size	179.6 MiB

Length

Max length	50
Median length	36
Mean length	21.918764
Min length	1

Characters and Unicode

Total characters	50,696,765
Distinct characters	9,901
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2,110,458 ?
Unique (%)	91.2%

Sample

1st row	Gakondo
2nd row	Ampere Battery Info
3rd row	Vibook
4th row	Smart City Trichy Public Service Vehicles 17UCS548
5th row	GROW.me

Value	Count	Frequency (%)
	411659	5.0%
for	65891	0.8%
app	63372	0.8%
radio	62789	0.8%
the	54770	0.7%
free	52603	0.6%
and	48523	0.6%
game	40134	0.5%
wallpaper	36017	0.4%
of	33626	0.4%
Other values (885415)	7367377	89.4%

Most occurring characters

Value	Count	Frequency (%)
	5939158	11.7%
e	3693779	7.3%
a	3476838	6.9%
i	2692836	5.3%
o	2581981	5.1%
r	2528042	5.0%
n	2208482	4.4%
t	1997829	3.9%
s	1790073	3.5%
l	1778158	3.5%
Other values (9891)	22009589	43.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50696765	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5939158	11.7%
e	3693779	7.3%
a	3476838	6.9%
i	2692836	5.3%
o	2581981	5.1%
r	2528042	5.0%
n	2208482	4.4%
t	1997829	3.9%
s	1790073	3.5%
l	1778158	3.5%
Other values (9891)	22009589	43.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50696765	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5939158	11.7%
e	3693779	7.3%
a	3476838	6.9%
i	2692836	5.3%
o	2581981	5.1%
r	2528042	5.0%
n	2208482	4.4%
t	1997829	3.9%
s	1790073	3.5%
l	1778158	3.5%
Other values (9891)	22009589	43.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50696765	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5939158	11.7%
e	3693779	7.3%
a	3476838	6.9%
i	2692836	5.3%
o	2581981	5.1%
r	2528042	5.0%
n	2208482	4.4%
t	1997829	3.9%
s	1790073	3.5%
l	1778158	3.5%
Other values (9891)	22009589	43.4%

App Id
Text

Unique

Distinct	2312944
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	168.0 MiB

Length

Max length	150
Median length	139
Mean length	27.15986
Min length	3

Characters and Unicode

Total characters	62,819,235
Distinct characters	64
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2,312,944 ?
Unique (%)	100.0%

Sample

1st row	com.ishakwe.gakondo
2nd row	com.webserveis.batteryinfo
3rd row	com.doantiepvien.crm
4th row	cst.stJoseph.ug17ucs548
5th row	com.horodyski.grower

Value	Count	Frequency (%)
biblia.em.audio	6	< 0.1%
mil.army	6	< 0.1%
baixar.biblia.sagrada.gratis	5	< 0.1%
com.yy.musicfm.global	3	< 0.1%
catholic.bible	3	< 0.1%
study.bible	3	< 0.1%
com.iloveyoulivewallpaper	3	< 0.1%
bible.kjv	3	< 0.1%
com.kkkeyboard.emoji.keyboard.theme.spacecraft	2	< 0.1%
com.desibit.animewatch	2	< 0.1%
Other values (2312535)	2312908	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
o	5398156	8.6%
.	5384346	8.6%
a	5272398	8.4%
e	4674261	7.4%
c	3655165	5.8%
i	3636745	5.8%
m	3530987	5.6%
r	3408963	5.4%
s	3056831	4.9%
t	2911132	4.6%
Other values (54)	21890251	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	62819235	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	5398156	8.6%
.	5384346	8.6%
a	5272398	8.4%
e	4674261	7.4%
c	3655165	5.8%
i	3636745	5.8%
m	3530987	5.6%
r	3408963	5.4%
s	3056831	4.9%
t	2911132	4.6%
Other values (54)	21890251	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	62819235	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	5398156	8.6%
.	5384346	8.6%
a	5272398	8.4%
e	4674261	7.4%
c	3655165	5.8%
i	3636745	5.8%
m	3530987	5.6%
r	3408963	5.4%
s	3056831	4.9%
t	2911132	4.6%
Other values (54)	21890251	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	62819235	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	5398156	8.6%
.	5384346	8.6%
a	5272398	8.4%
e	4674261	7.4%
c	3655165	5.8%
i	3636745	5.8%
m	3530987	5.6%
r	3408963	5.4%
s	3056831	4.9%
t	2911132	4.6%
Other values (54)	21890251	34.8%

Category
Categorical

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	131.0 MiB

Education	241090
Music & Audio	154906
Tools	143988
Business	143771
Entertainment	138276
Other values (43)	1490913

Length

Max length	23
Median length	15
Mean length	10.371109
Min length	4

Characters and Unicode

Total characters	23,987,795
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Adventure
2nd row	Tools
3rd row	Productivity
4th row	Communication
5th row	Tools

Common Values

Value	Count	Frequency (%)
Education	241090	10.4%
Music & Audio	154906	6.7%
Tools	143988	6.2%
Business	143771	6.2%
Entertainment	138276	6.0%
Lifestyle	118331	5.1%
Books & Reference	116728	5.0%
Personalization	89210	3.9%
Health & Fitness	83510	3.6%
Productivity	79698	3.4%
Other values (38)	1003436	43.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	636289	17.6%
education	241090	6.7%
music	159108	4.4%
audio	154906	4.3%
tools	143988	4.0%
business	143771	4.0%
entertainment	138276	3.8%
lifestyle	118331	3.3%
books	116728	3.2%
reference	116728	3.2%
Other values (52)	1640356	45.4%

Most occurring characters

Value	Count	Frequency (%)
i	2093771	8.7%
e	1965664	8.2%
o	1941902	8.1%
n	1790669	7.5%
t	1553226	6.5%
s	1541525	6.4%
a	1502077	6.3%
	1296627	5.4%
u	1040935	4.3%
c	988503	4.1%
Other values (31)	8272896	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23987795	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	2093771	8.7%
e	1965664	8.2%
o	1941902	8.1%
n	1790669	7.5%
t	1553226	6.5%
s	1541525	6.4%
a	1502077	6.3%
	1296627	5.4%
u	1040935	4.3%
c	988503	4.1%
Other values (31)	8272896	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23987795	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	2093771	8.7%
e	1965664	8.2%
o	1941902	8.1%
n	1790669	7.5%
t	1553226	6.5%
s	1541525	6.4%
a	1502077	6.3%
	1296627	5.4%
u	1040935	4.3%
c	988503	4.1%
Other values (31)	8272896	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23987795	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	2093771	8.7%
e	1965664	8.2%
o	1941902	8.1%
n	1790669	7.5%
t	1553226	6.5%
s	1541525	6.4%
a	1502077	6.3%
	1296627	5.4%
u	1040935	4.3%
c	988503	4.1%
Other values (31)	8272896	34.5%

Rating
Real number (ℝ)

High correlation Zeros

Distinct	42
Distinct (%)	< 0.1%
Missing	22883
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2031515

Minimum	0
Maximum	5
Zeros	1059762
Zeros (%)	45.8%
Negative	0
Negative (%)	0.0%
Memory size	17.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2.9
Q3	4.3
95-th percentile	4.9
Maximum	5
Range	5
Interquartile range (IQR)	4.3

Descriptive statistics

Standard deviation	2.1062225
Coefficient of variation (CV)	0.95600438
Kurtosis	-1.8598136
Mean	2.2031515
Median Absolute Deviation (MAD)	2.1
Skewness	-0.0020644962
Sum	5045351.4
Variance	4.4361733
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	1059762	45.8%
5	100122	4.3%
4.2	87993	3.8%
4.4	86304	3.7%
4.3	83276	3.6%
4.6	78302	3.4%
4.5	76753	3.3%
4.1	69723	3.0%
4	67342	2.9%
4.7	62205	2.7%
Other values (32)	518279	22.4%

Value	Count	Frequency (%)
0	1059762	45.8%
1	713	< 0.1%
1.1	236	< 0.1%
1.2	531	< 0.1%
1.3	579	< 0.1%
1.4	1011	< 0.1%
1.5	1157	0.1%
1.6	1644	0.1%
1.7	1928	0.1%
1.8	2957	0.1%

Value	Count	Frequency (%)
5	100122	4.3%
4.9	44524	1.9%
4.8	61109	2.6%
4.7	62205	2.7%
4.6	78302	3.4%
4.5	76753	3.3%
4.4	86304	3.7%
4.3	83276	3.6%
4.2	87993	3.8%
4.1	69723	3.0%

Rating Count
Real number (ℝ)

High correlation Skewed Zeros

Distinct	38482
Distinct (%)	1.7%
Missing	22883
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2864.8389

Minimum	0
Maximum	1.3855757 × 10⁸
Zeros	1059762
Zeros (%)	45.8%
Negative	0
Negative (%)	0.0%
Memory size	17.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	6
Q3	42
95-th percentile	1397
Maximum	1.3855757 × 10⁸
Range	1.3855757 × 10⁸
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	212162.57
Coefficient of variation (CV)	74.057418
Kurtosis	227234.89
Mean	2864.8389
Median Absolute Deviation (MAD)	6
Skewness	425.8278
Sum	6.5606558 × 10⁹
Variance	4.5012957 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1059762	45.8%
5	64288	2.8%
6	54325	2.3%
7	46838	2.0%
8	40585	1.8%
9	35953	1.6%
10	32294	1.4%
11	29142	1.3%
12	26134	1.1%
13	23629	1.0%
Other values (38472)	877111	37.9%
(Missing)	22883	1.0%

Value	Count	Frequency (%)
0	1059762	45.8%
5	64288	2.8%
6	54325	2.3%
7	46838	2.0%
8	40585	1.8%
9	35953	1.6%
10	32294	1.4%
11	29142	1.3%
12	26134	1.1%
13	23629	1.0%

Value	Count	Frequency (%)
138557570	1	< 0.1%
120206190	1	< 0.1%
117850066	1	< 0.1%
112440547	1	< 0.1%
89177097	1	< 0.1%
78563229	1	< 0.1%
56025424	1	< 0.1%
37479011	1	< 0.1%
36446381	1	< 0.1%
35369236	1	< 0.1%

Installs
Categorical

High correlation

Distinct	22
Distinct (%)	< 0.1%
Missing	107
Missing (%)	< 0.1%
Memory size	119.0 MiB

100+	443368
1,000+	398199
10+	300156
10,000+	256723
500+	189077
Other values (17)	725314

Length

Max length	15
Median length	14
Mean length	4.9309407
Min length	2

Characters and Unicode

Total characters	11,404,462
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10+
2nd row	5,000+
3rd row	50+
4th row	10+
5th row	100+

Common Values

Value	Count	Frequency (%)
100+	443368	19.2%
1,000+	398199	17.2%
10+	300156	13.0%
10,000+	256723	11.1%
500+	189077	8.2%
50+	170465	7.4%
5,000+	143593	6.2%
100,000+	110257	4.8%
50,000+	75359	3.3%
5+	73772	3.2%
Other values (12)	151868	6.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100	443368	19.2%
1,000	398199	17.2%
10	300156	13.0%
10,000	256723	11.1%
500	189077	8.2%
50	170465	7.4%
5,000	143593	6.2%
100,000	110257	4.8%
50,000	75359	3.3%
5	73772	3.2%
Other values (12)	151868	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	5683251	49.8%
+	2312837	20.3%
1	1614495	14.2%
,	1107103	9.7%
5	686776	6.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11404462	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5683251	49.8%
+	2312837	20.3%
1	1614495	14.2%
,	1107103	9.7%
5	686776	6.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11404462	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5683251	49.8%
+	2312837	20.3%
1	1614495	14.2%
,	1107103	9.7%
5	686776	6.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11404462	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5683251	49.8%
+	2312837	20.3%
1	1614495	14.2%
,	1107103	9.7%
5	686776	6.0%

Minimum Installs
Real number (ℝ)

High correlation Skewed

Distinct	22
Distinct (%)	< 0.1%
Missing	107
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	183445.21

Minimum	0
Maximum	1 × 10¹⁰
Zeros	11566
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	17.6 MiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	50
median	500
Q3	5000
95-th percentile	100000
Maximum	1 × 10¹⁰
Range	1 × 10¹⁰
Interquartile range (IQR)	4950

Descriptive statistics

Standard deviation	15131439
Coefficient of variation (CV)	82.484785
Kurtosis	155112.87
Mean	183445.21
Median Absolute Deviation (MAD)	495
Skewness	351.12408
Sum	4.2427888 × 10¹¹
Variance	2.2896045 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
100	443368	19.2%
1000	398199	17.2%
10	300156	13.0%
10000	256723	11.1%
500	189077	8.2%
50	170465	7.4%
5000	143593	6.2%
100000	110257	4.8%
50000	75359	3.3%
5	73772	3.2%
Other values (12)	151868	6.6%

Value	Count	Frequency (%)
0	11566	0.5%
1	65345	2.8%
5	73772	3.2%
10	300156	13.0%
50	170465	7.4%
100	443368	19.2%
500	189077	8.2%
1000	398199	17.2%
5000	143593	6.2%
10000	256723	11.1%

Value	Count	Frequency (%)
1 × 10¹⁰	1	< 0.1%
5000000000	14	< 0.1%
1000000000	55	< 0.1%
500000000	65	< 0.1%
100000000	549	< 0.1%
50000000	824	< 0.1%
10000000	6192	0.3%
5000000	6595	0.3%
1000000	33650	1.5%
500000	27012	1.2%

Maximum Installs
Real number (ℝ)

High correlation Skewed

Distinct	251563
Distinct (%)	10.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	320201.71

Minimum	0
Maximum	1.2057627 × 10¹⁰
Zeros	11589
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	17.6 MiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	84
median	695
Q3	7354
95-th percentile	238178.75
Maximum	1.2057627 × 10¹⁰
Range	1.2057627 × 10¹⁰
Interquartile range (IQR)	7270

Descriptive statistics

Standard deviation	23554955
Coefficient of variation (CV)	73.562863
Kurtosis	110642.74
Mean	320201.71
Median Absolute Deviation (MAD)	683
Skewness	302.0159
Sum	7.4060863 × 10¹¹
Variance	5.548359 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	16815	0.7%
2	16623	0.7%
4	16319	0.7%
6	15842	0.7%
5	15695	0.7%
1	15605	0.7%
7	14942	0.6%
8	14142	0.6%
10	13605	0.6%
9	13154	0.6%
Other values (251553)	2160202	93.4%

Value	Count	Frequency (%)
0	11589	0.5%
1	15605	0.7%
2	16623	0.7%
3	16815	0.7%
4	16319	0.7%
5	15695	0.7%
6	15842	0.7%
7	14942	0.6%
8	14142	0.6%
9	13154	0.6%

Value	Count	Frequency (%)
1.205762702 × 10¹⁰	1	< 0.1%
9766230924	1	< 0.1%
9154248491	1	< 0.1%
9141671889	1	< 0.1%
9034404884	1	< 0.1%
8925640788	1	< 0.1%
8756574289	1	< 0.1%
7408134567	1	< 0.1%
7028265259	1	< 0.1%
6782619635	1	< 0.1%

Free
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

True	2267876
False	45068

Value	Count	Frequency (%)
True	2267876	98.1%
False	45068	1.9%

Price
Real number (ℝ)

Skewed Zeros

Distinct	1063
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.10349916

Minimum	0
Maximum	400
Zeros	2268011
Zeros (%)	98.1%
Negative	0
Negative (%)	0.0%
Memory size	17.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	400
Range	400
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.6331266
Coefficient of variation (CV)	25.441043
Kurtosis	12526.663
Mean	0.10349916
Median Absolute Deviation (MAD)	0
Skewness	98.891087
Sum	239387.76
Variance	6.9333555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2268011	98.1%
0.99	11851	0.5%
1.99	5817	0.3%
2.99	3921	0.2%
1.49	3823	0.2%
4.99	2496	0.1%
3.99	2404	0.1%
2.49	2182	0.1%
3.49	1272	0.1%
9.99	878	< 0.1%
Other values (1053)	10289	0.4%

Value	Count	Frequency (%)
0	2268011	98.1%
0.194824	2	< 0.1%
0.204735	1	< 0.1%
0.207889	8	< 0.1%
0.21122	1	< 0.1%
0.263326	1	< 0.1%
0.273542	1	< 0.1%
0.393585	1	< 0.1%
0.415779	2	< 0.1%
0.449011	1	< 0.1%

Value	Count	Frequency (%)
400	1	< 0.1%
399.99	23	< 0.1%
394.99	2	< 0.1%
389.99	3	< 0.1%
384.99	1	< 0.1%
379.99	5	< 0.1%
374.99	1	< 0.1%
369.99	1	< 0.1%
365.99	1	< 0.1%
364.99	1	< 0.1%

Currency
Categorical

Imbalance

Distinct	15
Distinct (%)	< 0.1%
Missing	135
Missing (%)	< 0.1%
Memory size	114.7 MiB

USD	2311548
XXX	1236
EUR	6
INR	5
GBP	3
Other values (10)	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6,938,427
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	USD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	2311548	99.9%
XXX	1236	0.1%
EUR	6	< 0.1%
INR	5	< 0.1%
GBP	3	< 0.1%
CAD	2	< 0.1%
VND	1	< 0.1%
BRL	1	< 0.1%
KRW	1	< 0.1%
TRY	1	< 0.1%
Other values (5)	5	< 0.1%
(Missing)	135	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usd	2311548	99.9%
xxx	1236	0.1%
eur	6	< 0.1%
inr	5	< 0.1%
gbp	3	< 0.1%
cad	2	< 0.1%
vnd	1	< 0.1%
brl	1	< 0.1%
krw	1	< 0.1%
try	1	< 0.1%
Other values (5)	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
U	2311556	33.3%
D	2311553	33.3%
S	2311549	33.3%
X	3708	0.1%
R	17	< 0.1%
E	6	< 0.1%
N	6	< 0.1%
I	5	< 0.1%
B	5	< 0.1%
G	4	< 0.1%
Other values (10)	18	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6938427	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	2311556	33.3%
D	2311553	33.3%
S	2311549	33.3%
X	3708	0.1%
R	17	< 0.1%
E	6	< 0.1%
N	6	< 0.1%
I	5	< 0.1%
B	5	< 0.1%
G	4	< 0.1%
Other values (10)	18	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6938427	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	2311556	33.3%
D	2311553	33.3%
S	2311549	33.3%
X	3708	0.1%
R	17	< 0.1%
E	6	< 0.1%
N	6	< 0.1%
I	5	< 0.1%
B	5	< 0.1%
G	4	< 0.1%
Other values (10)	18	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6938427	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	2311556	33.3%
D	2311553	33.3%
S	2311549	33.3%
X	3708	0.1%
R	17	< 0.1%
E	6	< 0.1%
N	6	< 0.1%
I	5	< 0.1%
B	5	< 0.1%
G	4	< 0.1%
Other values (10)	18	< 0.1%

Size
Text

Distinct	1657
Distinct (%)	0.1%
Missing	196
Missing (%)	< 0.1%
Memory size	116.8 MiB

Length

Max length	18
Median length	6
Mean length	3.9755585
Min length	3

Characters and Unicode

Total characters	9,194,465
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	172 ?
Unique (%)	< 0.1%

Sample

1st row	10M
2nd row	2.9M
3rd row	3.7M
4th row	1.8M
5th row	6.2M

Value	Count	Frequency (%)
varies	74777	3.0%
with	74777	3.0%
device	74777	3.0%
11m	62157	2.5%
12m	56080	2.3%
13m	48034	2.0%
14m	45211	1.8%
16m	42474	1.7%
15m	41306	1.7%
17m	37244	1.5%
Other values (1649)	1905465	77.4%

Most occurring characters

Value	Count	Frequency (%)
M	2201705	23.9%
.	1067961	11.6%
1	805540	8.8%
2	637993	6.9%
3	566660	6.2%
4	482479	5.2%
5	433276	4.7%
6	378006	4.1%
7	355064	3.9%
8	332712	3.6%
Other values (18)	1933069	21.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9194465	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	2201705	23.9%
.	1067961	11.6%
1	805540	8.8%
2	637993	6.9%
3	566660	6.2%
4	482479	5.2%
5	433276	4.7%
6	378006	4.1%
7	355064	3.9%
8	332712	3.6%
Other values (18)	1933069	21.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9194465	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	2201705	23.9%
.	1067961	11.6%
1	805540	8.8%
2	637993	6.9%
3	566660	6.2%
4	482479	5.2%
5	433276	4.7%
6	378006	4.1%
7	355064	3.9%
8	332712	3.6%
Other values (18)	1933069	21.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9194465	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	2201705	23.9%
.	1067961	11.6%
1	805540	8.8%
2	637993	6.9%
3	566660	6.2%
4	482479	5.2%
5	433276	4.7%
6	378006	4.1%
7	355064	3.9%
8	332712	3.6%
Other values (18)	1933069	21.0%

Minimum Android
Text

Distinct	154
Distinct (%)	< 0.1%
Missing	6530
Missing (%)	0.3%
Memory size	130.7 MiB

Length

Max length	18
Median length	10
Mean length	10.341213
Min length	3

Characters and Unicode

Total characters	23,851,119
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	< 0.1%

Sample

1st row	7.1 and up
2nd row	5.0 and up
3rd row	4.0.3 and up
4th row	4.0.3 and up
5th row	4.1 and up

Value	Count	Frequency (%)
and	2259734	32.7%
up	2259734	32.7%
4.1	604534	8.7%
5.0	397035	5.7%
4.4	390396	5.6%
4.0.3	180524	2.6%
4.0	153527	2.2%
4.2	115984	1.7%
6.0	90035	1.3%
2.3	65630	0.9%
Other values (28)	402083	5.8%

Most occurring characters

Value	Count	Frequency (%)
	4612802	19.3%
.	2463284	10.3%
d	2305948	9.7%
a	2305948	9.7%
p	2259734	9.5%
u	2259734	9.5%
n	2259734	9.5%
4	1901876	8.0%
0	890164	3.7%
1	697508	2.9%
Other values (18)	1894387	7.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23851119	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	4612802	19.3%
.	2463284	10.3%
d	2305948	9.7%
a	2305948	9.7%
p	2259734	9.5%
u	2259734	9.5%
n	2259734	9.5%
4	1901876	8.0%
0	890164	3.7%
1	697508	2.9%
Other values (18)	1894387	7.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23851119	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	4612802	19.3%
.	2463284	10.3%
d	2305948	9.7%
a	2305948	9.7%
p	2259734	9.5%
u	2259734	9.5%
n	2259734	9.5%
4	1901876	8.0%
0	890164	3.7%
1	697508	2.9%
Other values (18)	1894387	7.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23851119	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	4612802	19.3%
.	2463284	10.3%
d	2305948	9.7%
a	2305948	9.7%
p	2259734	9.5%
u	2259734	9.5%
n	2259734	9.5%
4	1901876	8.0%
0	890164	3.7%
1	697508	2.9%
Other values (18)	1894387	7.9%

Developer Id
Text

Distinct	758371
Distinct (%)	32.8%
Missing	33
Missing (%)	< 0.1%
Memory size	145.0 MiB

Length

Max length	50
Median length	43
Mean length	14.553044
Min length	1

Characters and Unicode

Total characters	33,659,896
Distinct characters	5,008
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	490,445 ?
Unique (%)	21.2%

Sample

1st row	Jean Confident Irénée NIYIZIBYOSE
2nd row	Webserveis
3rd row	Cabin Crew
4th row	Climate Smart Tech2
5th row	Rafal Milek-Horodyski

Value	Count	Frequency (%)
apps	115392	2.3%
inc	87566	1.8%
ltd	73101	1.5%
games	65597	1.3%
	64586	1.3%
studio	58860	1.2%
llc	40722	0.8%
app	36754	0.7%
media	32839	0.7%
solutions	31084	0.6%
Other values (515996)	4379288	87.8%

Most occurring characters

Value	Count	Frequency (%)
	2677975	8.0%
e	2458145	7.3%
a	2259521	6.7%
o	1956385	5.8%
i	1934924	5.7%
n	1569447	4.7%
t	1471572	4.4%
r	1447802	4.3%
s	1368490	4.1%
l	1105184	3.3%
Other values (4998)	15410451	45.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	33659896	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2677975	8.0%
e	2458145	7.3%
a	2259521	6.7%
o	1956385	5.8%
i	1934924	5.7%
n	1569447	4.7%
t	1471572	4.4%
r	1447802	4.3%
s	1368490	4.1%
l	1105184	3.3%
Other values (4998)	15410451	45.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	33659896	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2677975	8.0%
e	2458145	7.3%
a	2259521	6.7%
o	1956385	5.8%
i	1934924	5.7%
n	1569447	4.7%
t	1471572	4.4%
r	1447802	4.3%
s	1368490	4.1%
l	1105184	3.3%
Other values (4998)	15410451	45.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	33659896	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2677975	8.0%
e	2458145	7.3%
a	2259521	6.7%
o	1956385	5.8%
i	1934924	5.7%
n	1569447	4.7%
t	1471572	4.4%
r	1447802	4.3%
s	1368490	4.1%
l	1105184	3.3%
Other values (4998)	15410451	45.8%

Developer Website
Text

Missing

Distinct	810440
Distinct (%)	52.2%
Missing	760835
Missing (%)	32.9%
Memory size	137.1 MiB

Length

Max length	617
Median length	231
Mean length	27.920862
Min length	9

Characters and Unicode

Total characters	43,336,221
Distinct characters	643
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	678,375 ?
Unique (%)	43.7%

Sample

1st row	https://beniyizibyose.tk/#/
2nd row	https://webserveis.netlify.app/
3rd row	http://www.climatesmarttech.com/
4th row	http://www.horodyski.com.pl
5th row	http://www.imocci.com

Value	Count	Frequency (%)
http://www.subsplash.com	7537	0.5%
http://www.chownow.com	4508	0.3%
http://www.sharefaith.com/category/church-websites.html	2057	0.1%
https://zeta-mars.blogspot.com	1877	0.1%
https://foodsoul.pro	1802	0.1%
http://www.magzter.com	1574	0.1%
https://vsxapps.com/currencyx	1518	0.1%
https://www.mindbodyonline.com/branded-apps	1508	0.1%
http://www.orderyoyo.com	1486	0.1%
http://android.atm-plushome.com/theme/index/?=am_plushome_in	1412	0.1%
Other values (791511)	1526832	98.4%

Most occurring characters

Value	Count	Frequency (%)
t	4648467	10.7%
/	3830912	8.8%
.	2813270	6.5%
o	2772351	6.4%
p	2740293	6.3%
w	2474797	5.7%
s	2185729	5.0%
a	2070785	4.8%
h	2047086	4.7%
e	1936347	4.5%
Other values (633)	15816184	36.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	43336221	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	4648467	10.7%
/	3830912	8.8%
.	2813270	6.5%
o	2772351	6.4%
p	2740293	6.3%
w	2474797	5.7%
s	2185729	5.0%
a	2070785	4.8%
h	2047086	4.7%
e	1936347	4.5%
Other values (633)	15816184	36.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	43336221	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	4648467	10.7%
/	3830912	8.8%
.	2813270	6.5%
o	2772351	6.4%
p	2740293	6.3%
w	2474797	5.7%
s	2185729	5.0%
a	2070785	4.8%
h	2047086	4.7%
e	1936347	4.5%
Other values (633)	15816184	36.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	43336221	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	4648467	10.7%
/	3830912	8.8%
.	2813270	6.5%
o	2772351	6.4%
p	2740293	6.3%
w	2474797	5.7%
s	2185729	5.0%
a	2070785	4.8%
h	2047086	4.7%
e	1936347	4.5%
Other values (633)	15816184	36.5%

Developer Email
Text

Distinct	950456
Distinct (%)	41.1%
Missing	31
Missing (%)	< 0.1%
Memory size	157.2 MiB

Length

Max length	111
Median length	74
Mean length	22.255268
Min length	6

Characters and Unicode

Total characters	51,474,498
Distinct characters	131
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	712,455 ?
Unique (%)	30.8%

Sample

1st row	jean21101999@gmail.com
2nd row	webserveis@gmail.com
3rd row	vnacrewit@gmail.com
4th row	climatesmarttech2@gmail.com
5th row	rmilekhorodyski@gmail.com

Value	Count	Frequency (%)
support@classplus.co	10345	0.4%
appsupport@subsplash.com	7570	0.3%
help@trainerize.com	4887	0.2%
eng-android@chownow.com	4862	0.2%
support@mindbodyonline.com	3047	0.1%
deploy@phorest.com	2811	0.1%
appsupport@sharefaith.com	2059	0.1%
jymstudio2019@gmail.com	1961	0.1%
marszeta@gmail.com	1883	0.1%
android@foodsoul.pro	1803	0.1%
Other values (944564)	2271685	98.2%

Most occurring characters

Value	Count	Frequency (%)
o	4620134	9.0%
a	4563370	8.9%
m	4355097	8.5%
i	3689797	7.2%
c	3111979	6.0%
.	2826713	5.5%
e	2797463	5.4%
l	2727952	5.3%
@	2312913	4.5%
s	2082710	4.0%
Other values (121)	18386370	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	51474498	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	4620134	9.0%
a	4563370	8.9%
m	4355097	8.5%
i	3689797	7.2%
c	3111979	6.0%
.	2826713	5.5%
e	2797463	5.4%
l	2727952	5.3%
@	2312913	4.5%
s	2082710	4.0%
Other values (121)	18386370	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	51474498	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	4620134	9.0%
a	4563370	8.9%
m	4355097	8.5%
i	3689797	7.2%
c	3111979	6.0%
.	2826713	5.5%
e	2797463	5.4%
l	2727952	5.3%
@	2312913	4.5%
s	2082710	4.0%
Other values (121)	18386370	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	51474498	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	4620134	9.0%
a	4563370	8.9%
m	4355097	8.5%
i	3689797	7.2%
c	3111979	6.0%
.	2826713	5.5%
e	2797463	5.4%
l	2727952	5.3%
@	2312913	4.5%
s	2082710	4.0%
Other values (121)	18386370	35.7%

Released
Date

Missing

Distinct	4158
Distinct (%)	0.2%
Missing	71053
Missing (%)	3.1%
Memory size	17.6 MiB

Minimum	2010-01-28 00:00:00
Maximum	2021-06-16 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Last Updated
Date

Distinct	3918
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	17.6 MiB

Minimum	2009-02-09 00:00:00
Maximum	2021-06-16 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Content Rating
Categorical

Imbalance

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	125.2 MiB

Everyone	2022089
Teen	196375
Mature 17+	60289
Everyone 10+	33901
Unrated	154

Length

Max length	15
Median length	8
Mean length	7.7714947
Min length	4

Characters and Unicode

Total characters	17,975,032
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Everyone
2nd row	Everyone
3rd row	Everyone
4th row	Everyone
5th row	Everyone

Common Values

Value	Count	Frequency (%)
Everyone	2022089	87.4%
Teen	196375	8.5%
Mature 17+	60289	2.6%
Everyone 10+	33901	1.5%
Unrated	154	< 0.1%
Adults only 18+	136	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
everyone	2055990	85.4%
teen	196375	8.2%
mature	60289	2.5%
17	60289	2.5%
10	33901	1.4%
unrated	154	< 0.1%
adults	136	< 0.1%
only	136	< 0.1%
18	136	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	4565173	25.4%
n	2252655	12.5%
r	2116433	11.8%
y	2056126	11.4%
o	2056126	11.4%
v	2055990	11.4%
E	2055990	11.4%
T	196375	1.1%
	94462	0.5%
1	94326	0.5%
Other values (13)	431376	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17975032	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	4565173	25.4%
n	2252655	12.5%
r	2116433	11.8%
y	2056126	11.4%
o	2056126	11.4%
v	2055990	11.4%
E	2055990	11.4%
T	196375	1.1%
	94462	0.5%
1	94326	0.5%
Other values (13)	431376	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17975032	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	4565173	25.4%
n	2252655	12.5%
r	2116433	11.8%
y	2056126	11.4%
o	2056126	11.4%
v	2055990	11.4%
E	2055990	11.4%
T	196375	1.1%
	94462	0.5%
1	94326	0.5%
Other values (13)	431376	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17975032	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	4565173	25.4%
n	2252655	12.5%
r	2116433	11.8%
y	2056126	11.4%
o	2056126	11.4%
v	2055990	11.4%
E	2055990	11.4%
T	196375	1.1%
	94462	0.5%
1	94326	0.5%
Other values (13)	431376	2.4%

Missing

Distinct	977743
Distinct (%)	51.7%
Missing	420953
Missing (%)	18.2%
Memory size	194.2 MiB

Length

Max length	9,957
Median length	415
Mean length	51.345085
Min length	10

Characters and Unicode

Total characters	97,144,438
Distinct characters	1,014
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	847,205 ?
Unique (%)	44.8%

Sample

1st row	https://beniyizibyose.tk/projects/
2nd row	https://dev4phones.wordpress.com/licencia-de-uso/
3rd row	https://www.vietnamairlines.com/vn/en/terms-and-conditions/privacy-policy
4th row	http://www.horodyski.com.pl
5th row	https://www.imocci.com/wp-content/uploads/2018/08/Datenschutzerklärung_IMOCCI_22072018.pdf

Value	Count	Frequency (%)
http://www.subsplash.com/legal/privacy	7481	0.4%
https://unity3d.com/legal/privacy-policy	5315	0.3%
http://www.trainerize.com/privacy.aspx	5181	0.3%
http://www.chownow.com/privacy-policy	4784	0.3%
https://classplusapp.com/privacy.html	4375	0.2%
https://bit.ly/2ydtip0	3435	0.2%
https://www.mindbodyonline.com/privacy-policy	3357	0.2%
https://pushpay.com/legal-center/privacy	3023	0.2%
https://zanadoo.me/pages/privacy	2788	0.1%
https://quickappninja.com/game-privacy-policy.html	2419	0.1%
Other values (970588)	1849833	97.8%

Most occurring characters

Value	Count	Frequency (%)
/	7480214	7.7%
t	7128869	7.3%
p	6380260	6.6%
o	5904013	6.1%
i	5397879	5.6%
c	5136581	5.3%
a	4804652	4.9%
e	4310747	4.4%
s	4204901	4.3%
.	4131057	4.3%
Other values (1004)	42265265	43.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	97144438	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	7480214	7.7%
t	7128869	7.3%
p	6380260	6.6%
o	5904013	6.1%
i	5397879	5.6%
c	5136581	5.3%
a	4804652	4.9%
e	4310747	4.4%
s	4204901	4.3%
.	4131057	4.3%
Other values (1004)	42265265	43.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	97144438	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	7480214	7.7%
t	7128869	7.3%
p	6380260	6.6%
o	5904013	6.1%
i	5397879	5.6%
c	5136581	5.3%
a	4804652	4.9%
e	4310747	4.4%
s	4204901	4.3%
.	4131057	4.3%
Other values (1004)	42265265	43.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	97144438	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	7480214	7.7%
t	7128869	7.3%
p	6380260	6.6%
o	5904013	6.1%
i	5397879	5.6%
c	5136581	5.3%
a	4804652	4.9%
e	4310747	4.4%
s	4204901	4.3%
.	4131057	4.3%
Other values (1004)	42265265	43.5%

Ad Supported
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

False	1162170
True	1150774

Value	Count	Frequency (%)
False	1162170	50.2%
True	1150774	49.8%

In App Purchases
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

False	2117635
True	195309

Value	Count	Frequency (%)
False	2117635	91.6%
True	195309	8.4%

Editors Choice
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

False	2312091
True	853

Value	Count	Frequency (%)
False	2312091	> 99.9%
True	853	< 0.1%

Scraped Time
Date

Distinct	67374
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	17.6 MiB

Minimum	2021-06-15 20:19:35
Maximum	2021-06-16 15:10:42
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Interactions

Correlations

	Ad Supported	Category	Content Rating	Currency	Editors Choice	Free	In App Purchases	Installs	Maximum Installs	Minimum Installs	Price	Rating	Rating Count
Ad Supported	1.000	0.492	0.128	0.003	0.006	0.124	0.138	0.255	0.002	0.000	0.015	0.196	0.002
Category	0.492	1.000	0.234	0.003	0.038	0.106	0.280	0.067	0.003	0.004	0.015	0.094	0.005
Content Rating	0.128	0.234	1.000	0.000	0.021	0.028	0.096	0.041	0.001	0.000	0.001	0.026	0.004
Currency	0.003	0.003	0.000	1.000	0.000	0.002	0.002	0.003	0.000	0.000	0.000	0.003	0.000
Editors Choice	0.006	0.038	0.021	0.000	1.000	0.003	0.046	0.188	0.042	0.027	0.000	0.027	0.083
Free	0.124	0.106	0.028	0.002	0.003	1.000	0.009	0.070	0.000	0.000	0.119	0.016	0.000
In App Purchases	0.138	0.280	0.096	0.002	0.046	0.009	1.000	0.283	0.003	0.001	0.000	0.179	0.008
Installs	0.255	0.067	0.041	0.003	0.188	0.070	0.283	1.000	0.556	1.000	0.013	0.268	0.273
Maximum Installs	0.002	0.003	0.001	0.000	0.042	0.000	0.003	0.556	1.000	0.991	-0.048	0.594	0.845
Minimum Installs	0.000	0.004	0.000	0.000	0.027	0.000	0.001	1.000	0.991	1.000	-0.048	0.588	0.839
Price	0.015	0.015	0.001	0.000	0.000	0.119	0.000	0.013	-0.048	-0.048	1.000	0.011	0.013
Rating	0.196	0.094	0.026	0.003	0.027	0.016	0.179	0.268	0.594	0.588	0.011	1.000	0.804
Rating Count	0.002	0.005	0.004	0.000	0.083	0.000	0.008	0.273	0.845	0.839	0.013	0.804	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	App Name	App Id	Category	Rating	Rating Count	Installs	Minimum Installs	Maximum Installs	Free	Currency	Size	Minimum Android	Developer Id	Developer Website	Developer Email	Released	Last Updated	Content Rating	Privacy Policy	Ad Supported	In App Purchases	Editors Choice	Scraped Time
0	Gakondo	com.ishakwe.gakondo	Adventure	0.0	0.0	10+	10.0	15	True	USD	10M	7.1 and up	Jean Confident Irénée NIYIZIBYOSE	https://beniyizibyose.tk/#/	jean21101999@gmail.com	Feb 26, 2020	Feb 26, 2020	Everyone	https://beniyizibyose.tk/projects/	False	False	False	2021-06-15 20:19:35
1	Ampere Battery Info	com.webserveis.batteryinfo	Tools	4.4	64.0	5,000+	5000.0	7662	True	USD	2.9M	5.0 and up	Webserveis	https://webserveis.netlify.app/	webserveis@gmail.com	May 21, 2020	May 06, 2021	Everyone	https://dev4phones.wordpress.com/licencia-de-uso/	True	False	False	2021-06-15 20:19:35
2	Vibook	com.doantiepvien.crm	Productivity	0.0	0.0	50+	50.0	58	True	USD	3.7M	4.0.3 and up	Cabin Crew	NaN	vnacrewit@gmail.com	Aug 9, 2019	Aug 19, 2019	Everyone	https://www.vietnamairlines.com/vn/en/terms-and-conditions/privacy-policy	False	False	False	2021-06-15 20:19:35
3	Smart City Trichy Public Service Vehicles 17UCS548	cst.stJoseph.ug17ucs548	Communication	5.0	5.0	10+	10.0	19	True	USD	1.8M	4.0.3 and up	Climate Smart Tech2	http://www.climatesmarttech.com/	climatesmarttech2@gmail.com	Sep 10, 2018	Oct 13, 2018	Everyone	NaN	True	False	False	2021-06-15 20:19:35
4	GROW.me	com.horodyski.grower	Tools	0.0	0.0	100+	100.0	478	True	USD	6.2M	4.1 and up	Rafal Milek-Horodyski	http://www.horodyski.com.pl	rmilekhorodyski@gmail.com	Feb 21, 2020	Nov 12, 2018	Everyone	http://www.horodyski.com.pl	False	False	False	2021-06-15 20:19:35
5	IMOCCI	com.imocci	Social	0.0	0.0	50+	50.0	89	True	USD	46M	6.0 and up	Imocci GmbH	http://www.imocci.com	info@imocci.com	Dec 24, 2018	Dec 20, 2019	Teen	https://www.imocci.com/wp-content/uploads/2018/08/Datenschutzerklärung_IMOCCI_22072018.pdf	False	True	False	2021-06-15 20:19:35
6	unlimited 4G data prank free app	getfreedata.superfatiza.unlimitedjiodataprank	Libraries & Demo	4.5	12.0	1,000+	1000.0	2567	True	USD	2.5M	4.1 and up	android developer779	NaN	aitomgharfatimezzahra@gmail.com	Sep 23, 2019	Sep 27, 2019	Everyone	https://sites.google.com/view/unlimited4gdataprank	True	False	False	2021-06-15 20:19:35
7	The Everyday Calendar	com.mozaix.simoneboard	Lifestyle	2.0	39.0	500+	500.0	702	True	USD	16M	5.0 and up	Mozaix LLC	NaN	elementuser03@gmail.com	Jun 21, 2019	Jun 21, 2019	Everyone	https://www.freeprivacypolicy.com/privacy/view/978b22a2fd432de423de81e4ac91d571	False	False	False	2021-06-15 20:19:35
8	WhatsOpen	com.whatsopen.app	Communication	0.0	0.0	10+	10.0	18	True	USD	1.3M	4.4 and up	Yilver Molina Hurtatiz	http://yilvermolinah.com	yilver.mh1996@gmail.com	NaN	Dec 07, 2018	Teen	http://elcafedelamanana.yilvermolinah.com/policy.html	False	False	False	2021-06-15 20:19:35
9	Neon 3d Iron Tech Keyboard Theme	com.ikeyboard.theme.neon_3d.iron.tech	Personalization	4.7	820.0	50,000+	50000.0	62433	True	USD	3.5M	4.1 and up	Free 2021 Themes for Emoji keyboard	https://trendyteme888-31139.web.app	trendyteme.888@gmail.com	Sep 22, 2019	Oct 07, 2020	Everyone	http://bit.ly/EmojiThemePro	True	False	False	2021-06-15 20:19:35

	App Name	App Id	Category	Rating	Rating Count	Installs	Minimum Installs	Maximum Installs	Free	Currency	Size	Minimum Android	Developer Id	Developer Website	Developer Email	Released	Last Updated	Content Rating	Privacy Policy	Ad Supported	In App Purchases	Editors Choice	Scraped Time
2312934	Vietnamese - English Translator	com.eliminatesapps.vietnamesetranslator	Education	0.0	0.0	5+	5.0	6	True	USD	3.6M	4.0 and up	Eliminates Apps	https://af24d8239.app-ads-txt.com	eliminatesapps@gmail.com	Jun 15, 2020	Aug 31, 2020	Everyone	https://sites.google.com/view/redli/home	True	False	False	2021-06-16 12:59:18
2312935	Floral Wallpaper	com.arfdev.floralwallpaper	Personalization	0.0	0.0	1,000+	1000.0	1302	True	USD	29M	4.1 and up	arfdev	NaN	arfdev56@gmail.com	Jul 19, 2018	Nov 13, 2019	Everyone	https://docs.google.com/document/d/14UGI886tB6hfBN7hLpAq0wZPwBK1dzIH1o2Xm1mg6FA/edit?usp=sharing	True	False	False	2021-06-16 12:59:18
2312936	Engineers Careers	com.eventapps.eventapps	Business	0.0	0.0	100+	100.0	353	True	USD	21M	5.0 and up	Eventi	NaN	rami.osama.selim@gmail.com	Mar 5, 2020	Feb 29, 2020	Everyone	NaN	False	False	False	2021-06-16 12:59:18
2312937	STMIK Mercusuar - Aditya Rachman	com.aplikasi.datapribadiadit	Education	0.0	0.0	5+	5.0	7	True	USD	6.6M	4.4 and up	STMIK Mercusuar	NaN	rachmanaditya5@gmail.com	Jan 15, 2020	Jan 15, 2020	Everyone	NaN	False	False	False	2021-06-16 12:59:18
2312938	Lero TOEFL Recorder + Timer	com.toefltimer	Education	3.4	17.0	1,000+	1000.0	1980	True	USD	10M	4.1 and up	Julio Augusto Vera	https://lerodoe.wordpress.com/	lero.doe@gmail.com	May 22, 2018	Dec 14, 2018	Everyone	https://lerodoe.wordpress.com/app-privacy-policy-timer-recorder/	True	False	False	2021-06-16 12:59:18
2312939	大俠客—熱血歸來	com.rxsj.ssjj	Role Playing	4.3	16775.0	100,000+	100000.0	337109	True	USD	77M	4.1 and up	ALICE GAME	http://www.4399sy.com.hk/	ssjjcomhk@gmail.com	NaN	Jun 01, 2021	Teen	http://a.4399sy.com.hk/user/aggreement	False	False	False	2021-06-16 12:59:18
2312940	ORU Online	com.threedream.oruonline	Education	0.0	0.0	100+	100.0	430	True	USD	44M	4.1 and up	3Dream Studios, LLC	http://www.oru.edu/	3DreamDeveloper@gmail.com	Jan 17, 2018	Feb 02, 2018	Everyone	http://www.oru.edu/about-oru/privacy-policy.php	False	False	False	2021-06-16 12:59:19
2312941	Data Structure	datastructure.appoworld.datastucture	Education	0.0	0.0	100+	100.0	202	True	USD	29M	5.0 and up	appoworld	NaN	appoworld.official@gmail.com	Aug 19, 2018	Aug 19, 2018	Everyone	https://appoworld.000webhostapp.com/datastructure.html	False	False	False	2021-06-16 12:59:19
2312942	Devi Suktam	ishan.devi.suktam	Music & Audio	3.5	8.0	1,000+	1000.0	2635	True	USD	10M	5.0 and up	Bhakti	https://a70f78905.app-ads-txt.com	ruchisono@gmail.com	Aug 1, 2016	May 05, 2021	Everyone	https://docs.google.com/document/d/1x-9reZuLRXNL_GFGpj8wMD4A0f49f7YPiUkAMJwNyNQ/edit?usp=sharing	True	False	False	2021-06-16 12:59:19
2312943	Biliyor Musun - Sonsuz Yarış	com.yyazilim.biliyormusun	Trivia	5.0	12.0	100+	100.0	354	True	USD	5.2M	5.0 and up	Y Yazılım	NaN	yyazilimdevelop@gmail.com	Aug 9, 2019	Aug 19, 2019	Everyone	https://biliyor-musun-sons.flycricket.io/privacy.html	True	False	False	2021-06-16 12:59:19

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories